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Patient and Sample Identification. Out of the Maze?

机译:患者和样品鉴定。走出迷宫?

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Summary Patient and sample misidentification may cause significant harm or discomfort to the patients, especially when incorrect data is used for performing specific healthcare activities. It is hence obvious that efficient and quality care can only start from accurate patient identification. There are many opportunities for misidentification in healthcare and laboratory medicine, including homonymy, incorrect patient registration, reliance on wrong patient data, mistakes in order entry, collection of biological specimens from wrong patients, inappropriate sample labeling and inaccurate entry or erroneous transmission of test results through the laboratory information system. Many ongoing efforts are made to prevent this important healthcare problem, entailing streamlined strategies for identifying patients throughout the healthcare industry by means of traditional and innovative identifiers, as well as using technologic tools that may enhance both the quality and efficiency of blood tubes labeling. The aim of this article is to provide an overview about the liability of identification errors in healthcare, thus providing a pragmatic approach for diverging the so-called patient identification crisis.
机译:总结患者和样品的错误标识可能会对患者造成重大伤害或不适,尤其是在使用不正确的数据执行特定的医疗保健活动时。因此很明显,高效和优质的护理只能从准确的患者识别开始。在医疗保健和实验室医学中有很多错误识别的机会,包括同名,错误的患者注册,对错误的患者数据的依赖,错误的订单输入,从错误的患者收集生物样本,不适当的样品标签以及不正确的输入或测试结果的错误传递通过实验室信息系统。为了防止这一重要的医疗保健问题,人们正在进行许多努力,包括通过传统的和创新的识别符以及使用可以提高血管标记质量和效率的技术工具,在整个医疗保健行业中识别患者的简化策略。本文的目的是提供有关医疗保健中识别错误责任的概述,从而提供一种务实的方法来分散所谓的患者识别危机。

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